Kalman Filter Matlab ((link))

%% 3. Plotting Results figure; subplot(2,1,1); plot(t, x_true_hist(1,:), 'g', 'LineWidth', 2); hold on; plot(t, z_meas, 'r.', 'MarkerSize', 4); plot(t, x_est_hist(1,:), 'b--', 'LineWidth', 1.5); legend('True Position', 'Noisy Measurements', 'Kalman Estimate'); title('Position Tracking'); xlabel('Time (s)'); ylabel('Position (m)');

est_pos(k) = x(1);